Application of Machine Learning Techniques to Discern Optimal Rearing Conditions for Improved Black Soldier Fly Farming

This study explored machine learning modeling approaches to discern optimal rearing conditions for improved BSF Farming.

Data and Resources

Additional Info

Field Value
Name of principal investigator Chrysantus M. Tanga
Email of principle investigator Chrysantus M. Tanga
Collaborators
  • Collaborators: John Muinde
  • Collaborators: John Olukuru
  • Collaborators: Clifford Odhiambo
  • Collaborators: Henri E.Z. Tonnang
  • Collaborators: Kennedy Senagi
Donor/funding agency
Start date of project 2022-01-01
End date of project 2022-08-31
Region Nairobi
Country(ies)
  • Country: Kenya
Administrative area(s)
Name of contact person Kennedy Senagi
Email of contact person ksenagi@icipe.org
Date uploaded 2023-02-13
Maintainer Kennedy Senagi
Email of maintainer ksenagi@icipe.org
Citation narrative
Is this third party data? Yes - I have a proprietary consent to archive it
Acknowledgement statement